Design of low power SRAM- based ubiquitous sensor for wireless body area networks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kumar Neeraj ◽  
Mohammed Mahaboob Basha ◽  
Srinivasulu Gundala

Purpose Smart ubiquitous sensors have been deployed in wireless body area networks to improve digital health-care services. As the requirement for computing power has drastically increased in recent years, the design of low power static RAM-based ubiquitous sensors is highly required for wireless body area networks. However, SRAM cells are increasingly susceptible to soft errors due to short supply voltage. The main purpose of this paper is to design a low power SRAM- based ubiquitous sensor for healthcare applications. Design/methodology/approach In this work, bias temperature instabilities are identified as significant issues in SRAM design. A level shifter circuit is proposed to get rid of soft errors and bias temperature instability problems. Findings Bias Temperature Instabilities are focused on in recent SRAM design for minimizing degradation. When compared to the existing SRAM design, the proposed FinFET-based SRAM obtains better results in terms of latency, power and static noise margin. Body area networks in biomedical applications demand low power ubiquitous sensors to improve battery life. The proposed low power SRAM-based ubiquitous sensors are found to be suitable for portable health-care devices. Originality/value In wireless body area networks, the design of low power SRAM-based ubiquitous sensors are highly essential. This design is power efficient and it overcomes the effect of bias temperature instability.

2019 ◽  
Vol 16 (7) ◽  
pp. 2934-2940 ◽  
Author(s):  
Dalal Abdulmohsin Hammood ◽  
Hasliza A. Rahim ◽  
Ahmed Alkhayyat ◽  
R. Badlishah Ahmad ◽  
M. Abdulmalek ◽  
...  

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Giuseppe Coviello ◽  
Gianfranco Avitabile ◽  
Antonello Florio ◽  
Claudio Talarico ◽  
Janet Roveda

2021 ◽  
Vol 8 (9) ◽  
pp. 117-124
Author(s):  
Kaiqiang Mai ◽  
◽  
Baoyuan Kang ◽  
Rui Li ◽  
◽  
...  

Recently, medical and healthcare associations have gradually begun to use the Internet of Things and wireless sensor networks to monitor, collect data, and use wireless body area networks (WBANs) to communicate with patients. However, due to the characteristics of wireless networks that can freely access data on public channels, WBANs face some problems in the security and privacy protection. At the same time, some authentication schemes for wireless body area networks have also been proposed. In this paper, we carefully analyze Fotouhi et al.’s authentication scheme for wireless body area networks in health-care IoT and find that Fotouhi et al.’s scheme is vulnerable to several weaknesses. The main shortcoming of Fotouhi et al.’s scheme is that it takes up too much storage space of each entity during the registration and authentication phase. To overcome the shortcomings of Fotouhi et al.’s scheme, we propose an improved scheme. In our improved scheme, each entity will store less data than Fotouhi et al.’s scheme in the registration phase. Furthermore, we make the gateway node store as little data as possible by adding some key information to the transmitted messages in the authentication phase of the improved scheme. These measures can greatly save a lot of storage space and improve efficiency. We also investigate the security of the improved scheme in informal analysis and formal analysis.


Today’s Wireless Body Area Networks technology augmented the wireless sensors communication more smart in the e-health line. With this sensors deployment prominent body parameters simply monitored remotely and the corresponding data is stored and transmitted the same for treatment purpose to the e-healthcare destination. Primarily Wireless Body Area Networks health care service is deliberately used in telemedicine, mobile health, elderly care, to monitor the chronic diseases and in emergency cases- the medical rehabilitations provided immediately without delay to the respective patient by the medical professional through internet service. As the demand of Wireless Body Area Networks e-health service increases, its ability is further enhanced once it is provided with more security and privacy to the enabled user’s data with more integrity, confidentiality, availability features. Wireless Body Area Networks makes the people to improve their quality of life provided with affordable cost and flexibility in usage having minimum operation of events. Researcher’s shows an interest over the past years in e-health care services adaptability and concerns more on real-world complications. This survey paper mainly focuses on the conceptual structure of Wireless Body Area Networks communication, security and privacy issues, and allocated frequency bands.


2021 ◽  
Author(s):  
Kheesheshta Ramgoolam ◽  
Vandana Bassoo

Abstract Two important criteria of Wireless Body Area Networks (WBANs) are low power consumption and delay. These criteria can be met by designing efficient Medium Access Control (MAC) protocols. In this paper, two TDMA-based MAC protocols are proposed. The first protocol, TM-MAC makes use of only a main radio. The second proposed protocol, TWM-MAC makes use of a WUR alongside the main radio. The two proposed protocols are compared with different categories of standard MAC protocols and it is shown that they outperform the standard ones by improving the power consumption and delay. The TWM-MAC consumes 55% less power consumption than the Scheduled Channel Polling MAC (SCP-MAC) protocol for a high traffic scenario on the high-rate platform while the TM-MAC consumes 85% less power consumption than the SCP-MAC. For a low traffic scenario, the TWM-MAC performs 53.5% better than the SCP-MAC protocol and 77.5% better than the Very Low Power MAC (VLPM) protocol on the high and low-rate platforms respectively. An improvement in delay was observed with the TWM-MAC protocol for high traffic situations. The TWM-MAC protocol surpasses the VLPM protocol by 81.1% in terms of latency for a high traffic scenario and 3.2% for a low traffic scenario.


Author(s):  
Fabio Di Franco ◽  
Christos Tachtatzis ◽  
Ben Graham ◽  
Marek Bykowski ◽  
David C. Tracey ◽  
...  

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